Advances in Information Retrieval: 36th European Conference by Maarten de Rijke, Tom Kenter, Arjen P. de Vries, ChengXiang

By Maarten de Rijke, Tom Kenter, Arjen P. de Vries, ChengXiang Zhai, Franciska de Jong, Kira Radinsky, Katja Hofmann

This booklet constitutes the court cases of the thirty sixth ecu convention on IR learn, ECIR 2014, held in Amsterdam, The Netherlands, in April 2014.

The 33 complete papers, 50 poster papers and 15 demonstrations offered during this quantity have been conscientiously reviewed and chosen from 288 submissions. The papers are equipped within the following topical sections: assessment, suggestion, optimization, semantics, aggregation, queries, mining social media, electronic libraries, potency, and data retrieval conception. additionally incorporated are three instructional and four workshop presentations.

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Additional resources for Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings

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Length and relevance. In: Proc. of the 17th ACM CIKM 2008, pp. 419–428 (2008) 16. : On relevance, probabilistic indexing and information retrieval. Journal of the ACM 7(3), 216–244 (1960) 17. : A language modeling approach to information retrieval. In: Proc. of the 21st ACM SIGIR Conference, SIGIR 1998, pp. 275–281 (1998) 18. : Some simple effective approx. to the 2-poisson model for probabilistic weighted retrieval. In: Proc. of ACM SIGIR 1994, pp. 232–241 (1994) 19. : A vector space model for automatic indexing.

The score assigned to a document given a query is determined by: s(q, d) = t∈q s(t, d) where s(t, d) is the term weighting assigned to term t in document d and q is the query which is composed of sequence of terms. The following schemes were implemented within the Lemur/Indri Framework3. idf (t). Here, n(t, d) is the number of times t occurs in a document d, n(d) is the total number of terms in a document, idf (t) = log dfN(t) where N is the number of documents in the collection, and df (t) is the number of documents in which t appears.

Yilmaz, E. ) ICTIR 2009. LNCS, vol. 5766, pp. 54–65. Springer, Heidelberg (2009) 6. : Is this document relevant? probably: a survey of probabilistic models in information retrieval. ACM Computing Survey 30(4), 528–552 (1998) 7. : Irra at trec 2010: Index term weighting by divergence from independence model. In: TREC (2010) 8. : A formal study of information retrieval heuristics. In: Proc. of the 27th ACM SIGIR Conference, SIGIR 2004, pp. 49–56 (2004) 9. : Probabilistic models in ir. Computer Journal 35(3), 243–255 (1992) 10.

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Advances in Information Retrieval: 36th European Conference by Maarten de Rijke, Tom Kenter, Arjen P. de Vries, ChengXiang
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